def test_descriptive_stats():
check_values = []
scheduler = HistoricNetworkScheduler(0, 1000)
network = scheduler.get_network()
values = From(scheduler, [0.0, 3.2, 2.1, 2.9, 8.3, 5.7])
max_value = Max(network, values)
min_value = Min(network, values)
avg = Mean(network, values)
stddev = Stddev(network, values)
check_values.extend([max_value, min_value, avg, stddev])
# noinspection PyUnusedLocal
def print_stats(params):
print(f"min = {min_value.get_value()}; max = {max_value.get_value()}; "
f"avg = {avg.get_value():.2f}; stddev = {stddev.get_value():.2f}")
Lambda(network, [min_value, max_value, avg, stddev], print_stats)
scheduler.run()
assert check_values[0].get_value() == 8.3
assert check_values[1].get_value() == 0.0
assert math.isclose(check_values[2].get_value(), 3.7, abs_tol=0.00001)
assert math.isclose(check_values[3].get_value(), 3.24507, abs_tol=0.00001)
async def main():
scheduler = RealtimeNetworkScheduler()
network = scheduler.get_network()
values = From(scheduler, [0.0, 3.2, 2.1, 2.9, 8.3, 5.7])
mapper = Map(network, values, lambda x: round(x))
accumulator = Scan(network, mapper)
Do(network, accumulator, lambda: print(f"{accumulator.get_value()}"))
def test_filter():
scheduler = HistoricNetworkScheduler(0, 30 * 1000)
network = scheduler.get_network()
values = From(scheduler, [0.0, -3.2, 2.1, -2.9, 8.3, -5.7])
filt = Filter(network, values, lambda x: x >= 0.0)
Do(network, filt, lambda: print(f'{filt.get_value()}'))
scheduler.run()
assert filt.get_value() == 8.3
def test_map_reduce():
scheduler = HistoricNetworkScheduler(0, 30 * 1000)
network = scheduler.get_network()
values = From(scheduler, [0.0, 3.2, 2.1, 2.9, 8.3, 5.7])
mapper = Map(network, values, lambda x: round(x))
accumulator = Scan(network, mapper)
Do(network, accumulator, lambda: print(f'{accumulator.get_value()}'))
scheduler.run()
assert accumulator.get_value() == 22.0
def test_running_sum():
check_values = []
scheduler = HistoricNetworkScheduler(0, 1000)
network = scheduler.get_network()
values = From(scheduler, [0.0, 3.2, 2.1, 2.9, 8.3, 5.7])
total = RunningSum(network, values)
check_values.append(total)
Lambda(network, total, lambda x: print(f'{x[0].get_value():.2f}'))
scheduler.run()
assert check_values[0].get_value() == 22.2
async def main():
scheduler = RealtimeNetworkScheduler()
network = scheduler.get_network()
values = From(scheduler, [0.0, 3.2, 2.1, 2.9, 8.3, 5.7])
max_value = Max(network, values)
min_value = Min(network, values)
avg = Mean(network, values)
stddev = Stddev(network, values)
# noinspection PyUnusedLocal
def print_stats(params):
print(
f"min = {min_value.get_value()}; max = {max_value.get_value()}; "
f"avg = {avg.get_value():.2f}; stddev = {stddev.get_value():.2f}")
Lambda(network, [min_value, max_value, avg, stddev], print_stats)
async def main():
scheduler = RealtimeNetworkScheduler()
network = scheduler.get_network()
values = From(scheduler, [0.0, 3.2, 2.1, 2.9, 8.3, 5.7])
total = RunningSum(network, values)
Lambda(network, total, lambda x: print(f'{x[0].get_value():.2f}'))
def test_hello_world():
scheduler = HistoricNetworkScheduler(0, 30 * 1000)
signal = From(scheduler, ['world'])
Do(scheduler.get_network(), signal,
lambda: print(f'Hello, {signal.get_value()}!'))
scheduler.run()
async def main():
scheduler = RealtimeNetworkScheduler()
signal = From(scheduler, ["world"])
Do(scheduler.get_network(), signal,
lambda: print(f"Hello, {signal.get_value()}!"))
async def main():
scheduler = RealtimeNetworkScheduler()
network = scheduler.get_network()
values = From(scheduler, [0.0, -3.2, 2.1, -2.9, 8.3, -5.7])
filt = Filter(network, values, lambda x: x >= 0.0)
Do(network, filt, lambda: print(f"{filt.get_value()}"))